Overview

Dataset statistics

Number of variables37
Number of observations4424
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory352.7 B

Variable types

Numeric28
Categorical9

Alerts

Admission grade is highly overall correlated with Previous qualification (grade)High correlation
Age at enrollment is highly overall correlated with Application modeHigh correlation
Application mode is highly overall correlated with Age at enrollmentHigh correlation
Course is highly overall correlated with Daytime/evening attendance High correlation
Curricular units 1st sem (approved) is highly overall correlated with Curricular units 1st sem (enrolled) and 4 other fieldsHigh correlation
Curricular units 1st sem (credited) is highly overall correlated with Curricular units 2nd sem (credited)High correlation
Curricular units 1st sem (enrolled) is highly overall correlated with Curricular units 1st sem (approved) and 2 other fieldsHigh correlation
Curricular units 1st sem (evaluations) is highly overall correlated with Curricular units 2nd sem (evaluations)High correlation
Curricular units 1st sem (grade) is highly overall correlated with Curricular units 1st sem (approved) and 2 other fieldsHigh correlation
Curricular units 2nd sem (approved) is highly overall correlated with Curricular units 1st sem (approved) and 5 other fieldsHigh correlation
Curricular units 2nd sem (credited) is highly overall correlated with Curricular units 1st sem (credited)High correlation
Curricular units 2nd sem (enrolled) is highly overall correlated with Curricular units 1st sem (approved) and 2 other fieldsHigh correlation
Curricular units 2nd sem (evaluations) is highly overall correlated with Curricular units 1st sem (evaluations)High correlation
Curricular units 2nd sem (grade) is highly overall correlated with Curricular units 1st sem (approved) and 2 other fieldsHigh correlation
Daytime/evening attendance is highly overall correlated with CourseHigh correlation
International is highly overall correlated with NacionalityHigh correlation
Nacionality is highly overall correlated with InternationalHigh correlation
Previous qualification (grade) is highly overall correlated with Admission gradeHigh correlation
Target is highly overall correlated with Curricular units 2nd sem (approved)High correlation
Daytime/evening attendance is highly imbalanced (50.3%)Imbalance
Educational special needs is highly imbalanced (90.9%)Imbalance
International is highly imbalanced (83.2%)Imbalance
Mother's occupation has 144 (3.3%) zerosZeros
Father's occupation has 128 (2.9%) zerosZeros
Curricular units 1st sem (credited) has 3847 (87.0%) zerosZeros
Curricular units 1st sem (enrolled) has 180 (4.1%) zerosZeros
Curricular units 1st sem (evaluations) has 349 (7.9%) zerosZeros
Curricular units 1st sem (approved) has 718 (16.2%) zerosZeros
Curricular units 1st sem (grade) has 718 (16.2%) zerosZeros
Curricular units 1st sem (without evaluations) has 4130 (93.4%) zerosZeros
Curricular units 2nd sem (credited) has 3894 (88.0%) zerosZeros
Curricular units 2nd sem (enrolled) has 180 (4.1%) zerosZeros
Curricular units 2nd sem (evaluations) has 401 (9.1%) zerosZeros
Curricular units 2nd sem (approved) has 870 (19.7%) zerosZeros
Curricular units 2nd sem (grade) has 870 (19.7%) zerosZeros
Curricular units 2nd sem (without evaluations) has 4142 (93.6%) zerosZeros

Reproduction

Analysis started2026-01-07 11:49:49.179171
Analysis finished2026-01-07 11:54:54.543298
Duration5 minutes and 5.36 seconds
Software versionydata-profiling vv4.18.0
Download configurationconfig.json

Variables

Marital status
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1785714
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:54:54.696200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60574695
Coefficient of variation (CV)0.51396711
Kurtosis21.482639
Mean1.1785714
Median Absolute Deviation (MAD)0
Skewness4.3997643
Sum5214
Variance0.36692936
MonotonicityNot monotonic
2026-01-07T16:54:54.962033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
13919
88.6%
2379
 
8.6%
491
 
2.1%
525
 
0.6%
66
 
0.1%
34
 
0.1%
ValueCountFrequency (%)
13919
88.6%
2379
 
8.6%
34
 
0.1%
491
 
2.1%
525
 
0.6%
66
 
0.1%
ValueCountFrequency (%)
66
 
0.1%
525
 
0.6%
491
 
2.1%
34
 
0.1%
2379
 
8.6%
13919
88.6%

Application mode
Real number (ℝ)

High correlation 

Distinct18
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.669078
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:54:55.281823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median17
Q339
95-th percentile44
Maximum57
Range56
Interquartile range (IQR)38

Descriptive statistics

Standard deviation17.484682
Coefficient of variation (CV)0.93655844
Kurtosis-1.4538061
Mean18.669078
Median Absolute Deviation (MAD)16
Skewness0.39303572
Sum82592
Variance305.71411
MonotonicityNot monotonic
2026-01-07T16:54:55.650586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
11708
38.6%
17872
19.7%
39785
17.7%
43312
 
7.1%
44213
 
4.8%
7139
 
3.1%
18124
 
2.8%
4277
 
1.7%
5159
 
1.3%
1638
 
0.9%
Other values (8)97
 
2.2%
ValueCountFrequency (%)
11708
38.6%
23
 
0.1%
516
 
0.4%
7139
 
3.1%
1010
 
0.2%
1530
 
0.7%
1638
 
0.9%
17872
19.7%
18124
 
2.8%
261
 
< 0.1%
ValueCountFrequency (%)
571
 
< 0.1%
5335
 
0.8%
5159
 
1.3%
44213
 
4.8%
43312
 
7.1%
4277
 
1.7%
39785
17.7%
271
 
< 0.1%
261
 
< 0.1%
18124
 
2.8%

Application order
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7278481
Minimum0
Maximum9
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:54:55.970378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3137931
Coefficient of variation (CV)0.76036376
Kurtosis2.6512887
Mean1.7278481
Median Absolute Deviation (MAD)0
Skewness1.88105
Sum7644
Variance1.7260523
MonotonicityNot monotonic
2026-01-07T16:54:56.501039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
13026
68.4%
2547
 
12.4%
3309
 
7.0%
4249
 
5.6%
5154
 
3.5%
6137
 
3.1%
91
 
< 0.1%
01
 
< 0.1%
ValueCountFrequency (%)
01
 
< 0.1%
13026
68.4%
2547
 
12.4%
3309
 
7.0%
4249
 
5.6%
5154
 
3.5%
6137
 
3.1%
91
 
< 0.1%
ValueCountFrequency (%)
91
 
< 0.1%
6137
 
3.1%
5154
 
3.5%
4249
 
5.6%
3309
 
7.0%
2547
 
12.4%
13026
68.4%
01
 
< 0.1%

Course
Real number (ℝ)

High correlation 

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8856.6426
Minimum33
Maximum9991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:54:56.930759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile171
Q19085
median9238
Q39556
95-th percentile9991
Maximum9991
Range9958
Interquartile range (IQR)471

Descriptive statistics

Standard deviation2063.5664
Coefficient of variation (CV)0.23299646
Kurtosis13.199149
Mean8856.6426
Median Absolute Deviation (MAD)262
Skewness-3.8091352
Sum39181787
Variance4258306.4
MonotonicityNot monotonic
2026-01-07T16:54:57.271541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
9500766
17.3%
9147380
 
8.6%
9238355
 
8.0%
9085337
 
7.6%
9773331
 
7.5%
9670268
 
6.1%
9991268
 
6.1%
9254252
 
5.7%
9070226
 
5.1%
171215
 
4.9%
Other values (7)1026
23.2%
ValueCountFrequency (%)
3312
 
0.3%
171215
4.9%
8014215
4.9%
9003210
4.7%
9070226
5.1%
9085337
7.6%
9119170
3.8%
9130141
 
3.2%
9147380
8.6%
9238355
8.0%
ValueCountFrequency (%)
9991268
 
6.1%
9853192
 
4.3%
9773331
7.5%
9670268
 
6.1%
955686
 
1.9%
9500766
17.3%
9254252
 
5.7%
9238355
8.0%
9147380
8.6%
9130141
 
3.2%

Daytime/evening attendance
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size250.7 KiB
1
3941 
0
483 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
13941
89.1%
0483
 
10.9%

Length

2026-01-07T16:54:57.669285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-07T16:54:57.947106image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
13941
89.1%
0483
 
10.9%

Most occurring characters

ValueCountFrequency (%)
13941
89.1%
0483
 
10.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
13941
89.1%
0483
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
13941
89.1%
0483
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
13941
89.1%
0483
 
10.9%

Previous qualification
Real number (ℝ)

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5777577
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:54:58.181953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile39
Maximum43
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.216592
Coefficient of variation (CV)2.2317897
Kurtosis6.7781662
Mean4.5777577
Median Absolute Deviation (MAD)0
Skewness2.8712068
Sum20252
Variance104.37876
MonotonicityNot monotonic
2026-01-07T16:54:58.469767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
13717
84.0%
39219
 
5.0%
19162
 
3.7%
3126
 
2.8%
1245
 
1.0%
4040
 
0.9%
4236
 
0.8%
223
 
0.5%
616
 
0.4%
911
 
0.2%
Other values (7)29
 
0.7%
ValueCountFrequency (%)
13717
84.0%
223
 
0.5%
3126
 
2.8%
48
 
0.2%
51
 
< 0.1%
616
 
0.4%
911
 
0.2%
104
 
0.1%
1245
 
1.0%
141
 
< 0.1%
ValueCountFrequency (%)
436
 
0.1%
4236
 
0.8%
4040
 
0.9%
39219
5.0%
387
 
0.2%
19162
3.7%
152
 
< 0.1%
141
 
< 0.1%
1245
 
1.0%
104
 
0.1%

Previous qualification (grade)
Real number (ℝ)

High correlation 

Distinct101
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.61331
Minimum95
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:54:59.188307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile110
Q1125
median133.1
Q3140
95-th percentile157
Maximum190
Range95
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.188332
Coefficient of variation (CV)0.09944953
Kurtosis0.96825772
Mean132.61331
Median Absolute Deviation (MAD)7.1
Skewness0.31286749
Sum586681.3
Variance173.93209
MonotonicityNot monotonic
2026-01-07T16:54:59.652007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133.1491
 
11.1%
130375
 
8.5%
140336
 
7.6%
120278
 
6.3%
150162
 
3.7%
125122
 
2.8%
135108
 
2.4%
110101
 
2.3%
13199
 
2.2%
16095
 
2.1%
Other values (91)2257
51.0%
ValueCountFrequency (%)
951
 
< 0.1%
962
 
< 0.1%
971
 
< 0.1%
992
 
< 0.1%
10076
1.7%
1016
 
0.1%
1025
 
0.1%
1033
 
0.1%
1054
 
0.1%
10610
 
0.2%
ValueCountFrequency (%)
1902
 
< 0.1%
1881
 
< 0.1%
184.41
 
< 0.1%
1821
 
< 0.1%
1809
0.2%
1782
 
< 0.1%
1772
 
< 0.1%
1761
 
< 0.1%
1751
 
< 0.1%
1741
 
< 0.1%

Nacionality
Real number (ℝ)

High correlation 

Distinct21
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8731917
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:00.005777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum109
Range108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.914514
Coefficient of variation (CV)3.6913008
Kurtosis135.14621
Mean1.8731917
Median Absolute Deviation (MAD)0
Skewness10.703998
Sum8287
Variance47.810504
MonotonicityNot monotonic
2026-01-07T16:55:00.330567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
14314
97.5%
4138
 
0.9%
2614
 
0.3%
2213
 
0.3%
613
 
0.3%
245
 
0.1%
1003
 
0.1%
113
 
0.1%
1033
 
0.1%
212
 
< 0.1%
Other values (11)16
 
0.4%
ValueCountFrequency (%)
14314
97.5%
22
 
< 0.1%
613
 
0.3%
113
 
0.1%
131
 
< 0.1%
141
 
< 0.1%
171
 
< 0.1%
212
 
< 0.1%
2213
 
0.3%
245
 
0.1%
ValueCountFrequency (%)
1091
 
< 0.1%
1081
 
< 0.1%
1052
 
< 0.1%
1033
 
0.1%
1012
 
< 0.1%
1003
 
0.1%
622
 
< 0.1%
4138
0.9%
321
 
< 0.1%
2614
 
0.3%

Mother's qualification
Real number (ℝ)

Distinct29
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.561935
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:00.654361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median19
Q337
95-th percentile38
Maximum44
Range43
Interquartile range (IQR)35

Descriptive statistics

Standard deviation15.603186
Coefficient of variation (CV)0.79763001
Kurtosis-1.6922924
Mean19.561935
Median Absolute Deviation (MAD)18
Skewness0.0019784779
Sum86542
Variance243.45942
MonotonicityNot monotonic
2026-01-07T16:55:00.999138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
11069
24.2%
371009
22.8%
19953
21.5%
38562
12.7%
3438
9.9%
34130
 
2.9%
283
 
1.9%
449
 
1.1%
1242
 
0.9%
521
 
0.5%
Other values (19)68
 
1.5%
ValueCountFrequency (%)
11069
24.2%
283
 
1.9%
3438
9.9%
449
 
1.1%
521
 
0.5%
64
 
0.1%
98
 
0.2%
103
 
0.1%
113
 
0.1%
1242
 
0.9%
ValueCountFrequency (%)
441
 
< 0.1%
434
 
0.1%
424
 
0.1%
416
 
0.1%
409
 
0.2%
398
 
0.2%
38562
12.7%
371009
22.8%
363
 
0.1%
353
 
0.1%

Father's qualification
Real number (ℝ)

Distinct34
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.275316
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:01.340918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median19
Q337
95-th percentile38
Maximum44
Range43
Interquartile range (IQR)34

Descriptive statistics

Standard deviation15.343108
Coefficient of variation (CV)0.68879416
Kurtosis-1.5805918
Mean22.275316
Median Absolute Deviation (MAD)18
Skewness-0.29869722
Sum98546
Variance235.41096
MonotonicityNot monotonic
2026-01-07T16:55:01.716676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
371209
27.3%
19968
21.9%
1904
20.4%
38702
15.9%
3282
 
6.4%
34112
 
2.5%
268
 
1.5%
439
 
0.9%
1238
 
0.9%
3920
 
0.5%
Other values (24)82
 
1.9%
ValueCountFrequency (%)
1904
20.4%
268
 
1.5%
3282
 
6.4%
439
 
0.9%
518
 
0.4%
62
 
< 0.1%
95
 
0.1%
102
 
< 0.1%
1110
 
0.2%
1238
 
0.9%
ValueCountFrequency (%)
441
 
< 0.1%
432
 
< 0.1%
421
 
< 0.1%
412
 
< 0.1%
405
 
0.1%
3920
 
0.5%
38702
15.9%
371209
27.3%
368
 
0.2%
352
 
< 0.1%

Mother's occupation
Real number (ℝ)

Zeros 

Distinct32
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.960895
Minimum0
Maximum194
Zeros144
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:02.073445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q39
95-th percentile9
Maximum194
Range194
Interquartile range (IQR)5

Descriptive statistics

Standard deviation26.418253
Coefficient of variation (CV)2.4102277
Kurtosis29.226145
Mean10.960895
Median Absolute Deviation (MAD)3
Skewness5.3392271
Sum48491
Variance697.92409
MonotonicityNot monotonic
2026-01-07T16:55:02.466192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
91577
35.6%
4817
18.5%
5530
 
12.0%
3351
 
7.9%
2318
 
7.2%
7272
 
6.1%
0144
 
3.3%
1102
 
2.3%
691
 
2.1%
9070
 
1.6%
Other values (22)152
 
3.4%
ValueCountFrequency (%)
0144
 
3.3%
1102
 
2.3%
2318
 
7.2%
3351
 
7.9%
4817
18.5%
5530
 
12.0%
691
 
2.1%
7272
 
6.1%
836
 
0.8%
91577
35.6%
ValueCountFrequency (%)
19411
0.2%
1934
 
0.1%
1925
 
0.1%
19126
0.6%
1755
 
0.1%
1731
 
< 0.1%
1711
 
< 0.1%
1532
 
< 0.1%
1522
 
< 0.1%
1513
 
0.1%

Father's occupation
Real number (ℝ)

Zeros 

Distinct46
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.032324
Minimum0
Maximum195
Zeros128
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:02.983857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q39
95-th percentile10
Maximum195
Range195
Interquartile range (IQR)5

Descriptive statistics

Standard deviation25.26304
Coefficient of variation (CV)2.2899111
Kurtosis29.927395
Mean11.032324
Median Absolute Deviation (MAD)2
Skewness5.3951732
Sum48807
Variance638.2212
MonotonicityNot monotonic
2026-01-07T16:55:03.501525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
91010
22.8%
7666
15.1%
5516
11.7%
4386
 
8.7%
3384
 
8.7%
8318
 
7.2%
10266
 
6.0%
6242
 
5.5%
2197
 
4.5%
1134
 
3.0%
Other values (36)305
 
6.9%
ValueCountFrequency (%)
0128
 
2.9%
1134
 
3.0%
2197
 
4.5%
3384
 
8.7%
4386
 
8.7%
5516
11.7%
6242
 
5.5%
7666
15.1%
8318
 
7.2%
91010
22.8%
ValueCountFrequency (%)
1951
 
< 0.1%
1942
 
< 0.1%
19315
0.3%
1926
 
0.1%
1833
 
0.1%
1822
 
< 0.1%
1813
 
0.1%
1754
 
0.1%
1741
 
< 0.1%
1722
 
< 0.1%

Admission grade
Real number (ℝ)

High correlation 

Distinct620
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.97812
Minimum95
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:04.029183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile103.415
Q1117.9
median126.1
Q3134.8
95-th percentile153.5
Maximum190
Range95
Interquartile range (IQR)16.9

Descriptive statistics

Standard deviation14.482001
Coefficient of variation (CV)0.11405115
Kurtosis0.6627246
Mean126.97812
Median Absolute Deviation (MAD)8.4
Skewness0.53059986
Sum561751.2
Variance209.72835
MonotonicityNot monotonic
2026-01-07T16:55:04.567837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130162
 
3.7%
140153
 
3.5%
120145
 
3.3%
100116
 
2.6%
15081
 
1.8%
11077
 
1.7%
16043
 
1.0%
128.239
 
0.9%
12326
 
0.6%
12826
 
0.6%
Other values (610)3556
80.4%
ValueCountFrequency (%)
9511
0.2%
95.11
 
< 0.1%
95.52
 
< 0.1%
95.81
 
< 0.1%
967
0.2%
96.11
 
< 0.1%
96.71
 
< 0.1%
976
0.1%
97.21
 
< 0.1%
97.41
 
< 0.1%
ValueCountFrequency (%)
1903
0.1%
184.41
 
< 0.1%
1841
 
< 0.1%
183.51
 
< 0.1%
180.41
 
< 0.1%
1804
0.1%
179.61
 
< 0.1%
178.31
 
< 0.1%
1781
 
< 0.1%
176.71
 
< 0.1%

Displaced
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size250.7 KiB
1
2426 
0
1998 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
12426
54.8%
01998
45.2%

Length

2026-01-07T16:55:05.087501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-07T16:55:05.317354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
12426
54.8%
01998
45.2%

Most occurring characters

ValueCountFrequency (%)
12426
54.8%
01998
45.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
12426
54.8%
01998
45.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
12426
54.8%
01998
45.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
12426
54.8%
01998
45.2%

Educational special needs
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size250.7 KiB
0
4373 
1
 
51

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
04373
98.8%
151
 
1.2%

Length

2026-01-07T16:55:05.734926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-07T16:55:06.038728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
04373
98.8%
151
 
1.2%

Most occurring characters

ValueCountFrequency (%)
04373
98.8%
151
 
1.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
04373
98.8%
151
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
04373
98.8%
151
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
04373
98.8%
151
 
1.2%

Debtor
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size250.7 KiB
0
3921 
1
503 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
03921
88.6%
1503
 
11.4%

Length

2026-01-07T16:55:06.321547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-07T16:55:06.539406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
03921
88.6%
1503
 
11.4%

Most occurring characters

ValueCountFrequency (%)
03921
88.6%
1503
 
11.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
03921
88.6%
1503
 
11.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
03921
88.6%
1503
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
03921
88.6%
1503
 
11.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size250.7 KiB
1
3896 
0
528 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
13896
88.1%
0528
 
11.9%

Length

2026-01-07T16:55:06.869193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-07T16:55:07.103048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
13896
88.1%
0528
 
11.9%

Most occurring characters

ValueCountFrequency (%)
13896
88.1%
0528
 
11.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
13896
88.1%
0528
 
11.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
13896
88.1%
0528
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
13896
88.1%
0528
 
11.9%

Gender
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size250.7 KiB
0
2868 
1
1556 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
02868
64.8%
11556
35.2%

Length

2026-01-07T16:55:07.380862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-07T16:55:07.632700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
02868
64.8%
11556
35.2%

Most occurring characters

ValueCountFrequency (%)
02868
64.8%
11556
35.2%

Most occurring categories

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
02868
64.8%
11556
35.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
02868
64.8%
11556
35.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
02868
64.8%
11556
35.2%

Scholarship holder
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size250.7 KiB
0
3325 
1
1099 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
03325
75.2%
11099
 
24.8%

Length

2026-01-07T16:55:08.028446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-07T16:55:08.480156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
03325
75.2%
11099
 
24.8%

Most occurring characters

ValueCountFrequency (%)
03325
75.2%
11099
 
24.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
03325
75.2%
11099
 
24.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
03325
75.2%
11099
 
24.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
03325
75.2%
11099
 
24.8%

Age at enrollment
Real number (ℝ)

High correlation 

Distinct46
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.265145
Minimum17
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:08.905035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile18
Q119
median20
Q325
95-th percentile41
Maximum70
Range53
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.5878156
Coefficient of variation (CV)0.32614522
Kurtosis4.1268918
Mean23.265145
Median Absolute Deviation (MAD)2
Skewness2.0549884
Sum102925
Variance57.574946
MonotonicityNot monotonic
2026-01-07T16:55:09.208865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
181036
23.4%
19911
20.6%
20599
13.5%
21322
 
7.3%
22174
 
3.9%
24131
 
3.0%
23108
 
2.4%
2694
 
2.1%
2593
 
2.1%
2791
 
2.1%
Other values (36)865
19.6%
ValueCountFrequency (%)
175
 
0.1%
181036
23.4%
19911
20.6%
20599
13.5%
21322
 
7.3%
22174
 
3.9%
23108
 
2.4%
24131
 
3.0%
2593
 
2.1%
2694
 
2.1%
ValueCountFrequency (%)
701
 
< 0.1%
621
 
< 0.1%
611
 
< 0.1%
602
 
< 0.1%
593
0.1%
583
0.1%
572
 
< 0.1%
555
0.1%
547
0.2%
537
0.2%

International
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size250.7 KiB
0
4314 
1
 
110

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters4424
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
04314
97.5%
1110
 
2.5%

Length

2026-01-07T16:55:09.470717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-07T16:55:09.618621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
04314
97.5%
1110
 
2.5%

Most occurring characters

ValueCountFrequency (%)
04314
97.5%
1110
 
2.5%

Most occurring categories

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
04314
97.5%
1110
 
2.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
04314
97.5%
1110
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown)4424
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
04314
97.5%
1110
 
2.5%

Curricular units 1st sem (credited)
Real number (ℝ)

High correlation  Zeros 

Distinct21
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70999096
Minimum0
Maximum20
Zeros3847
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:09.996330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3605066
Coefficient of variation (CV)3.3246995
Kurtosis19.205727
Mean0.70999096
Median Absolute Deviation (MAD)0
Skewness4.1690488
Sum3141
Variance5.5719915
MonotonicityNot monotonic
2026-01-07T16:55:10.219185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
03847
87.0%
294
 
2.1%
185
 
1.9%
369
 
1.6%
651
 
1.2%
447
 
1.1%
741
 
0.9%
541
 
0.9%
831
 
0.7%
927
 
0.6%
Other values (11)91
 
2.1%
ValueCountFrequency (%)
03847
87.0%
185
 
1.9%
294
 
2.1%
369
 
1.6%
447
 
1.1%
541
 
0.9%
651
 
1.2%
741
 
0.9%
831
 
0.7%
927
 
0.6%
ValueCountFrequency (%)
202
 
< 0.1%
192
 
< 0.1%
184
 
0.1%
173
 
0.1%
163
 
0.1%
155
 
0.1%
1415
0.3%
1313
0.3%
1212
0.3%
1117
0.4%

Curricular units 1st sem (enrolled)
Real number (ℝ)

High correlation  Zeros 

Distinct23
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2705696
Minimum0
Maximum26
Zeros180
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:10.486014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q15
median6
Q37
95-th percentile11
Maximum26
Range26
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.4801782
Coefficient of variation (CV)0.39552677
Kurtosis8.9379154
Mean6.2705696
Median Absolute Deviation (MAD)1
Skewness1.6190409
Sum27741
Variance6.1512838
MonotonicityNot monotonic
2026-01-07T16:55:10.714869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
61910
43.2%
51010
22.8%
7656
 
14.8%
8296
 
6.7%
0180
 
4.1%
1266
 
1.5%
1052
 
1.2%
1145
 
1.0%
936
 
0.8%
1525
 
0.6%
Other values (13)148
 
3.3%
ValueCountFrequency (%)
0180
 
4.1%
17
 
0.2%
29
 
0.2%
310
 
0.2%
421
 
0.5%
51010
22.8%
61910
43.2%
7656
 
14.8%
8296
 
6.7%
936
 
0.8%
ValueCountFrequency (%)
261
 
< 0.1%
232
 
< 0.1%
216
 
0.1%
192
 
< 0.1%
1819
0.4%
1716
0.4%
1613
0.3%
1525
0.6%
1422
0.5%
1320
0.5%

Curricular units 1st sem (evaluations)
Real number (ℝ)

High correlation  Zeros 

Distinct35
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2990506
Minimum0
Maximum45
Zeros349
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:10.990718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median8
Q310
95-th percentile15
Maximum45
Range45
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.1791056
Coefficient of variation (CV)0.50356429
Kurtosis5.4630252
Mean8.2990506
Median Absolute Deviation (MAD)2
Skewness0.9766367
Sum36715
Variance17.464923
MonotonicityNot monotonic
2026-01-07T16:55:11.250550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8791
17.9%
7703
15.9%
6598
13.5%
9402
9.1%
0349
7.9%
10340
7.7%
11239
 
5.4%
12223
 
5.0%
5220
 
5.0%
13140
 
3.2%
Other values (25)419
9.5%
ValueCountFrequency (%)
0349
7.9%
16
 
0.1%
28
 
0.2%
36
 
0.1%
419
 
0.4%
5220
 
5.0%
6598
13.5%
7703
15.9%
8791
17.9%
9402
9.1%
ValueCountFrequency (%)
452
< 0.1%
361
 
< 0.1%
331
 
< 0.1%
321
 
< 0.1%
311
 
< 0.1%
292
< 0.1%
281
 
< 0.1%
272
< 0.1%
264
0.1%
253
0.1%

Curricular units 1st sem (approved)
Real number (ℝ)

High correlation  Zeros 

Distinct23
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7066004
Minimum0
Maximum26
Zeros718
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:11.522347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q36
95-th percentile9
Maximum26
Range26
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.094238
Coefficient of variation (CV)0.65742526
Kurtosis3.0966799
Mean4.7066004
Median Absolute Deviation (MAD)1
Skewness0.7662624
Sum20822
Variance9.5743087
MonotonicityNot monotonic
2026-01-07T16:55:11.782179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
61171
26.5%
5723
16.3%
0718
16.2%
7471
10.6%
4433
 
9.8%
3269
 
6.1%
2160
 
3.6%
1127
 
2.9%
8108
 
2.4%
1149
 
1.1%
Other values (13)195
 
4.4%
ValueCountFrequency (%)
0718
16.2%
1127
 
2.9%
2160
 
3.6%
3269
 
6.1%
4433
 
9.8%
5723
16.3%
61171
26.5%
7471
10.6%
8108
 
2.4%
940
 
0.9%
ValueCountFrequency (%)
261
 
< 0.1%
214
 
0.1%
203
 
0.1%
192
 
< 0.1%
1815
0.3%
1710
 
0.2%
165
 
0.1%
157
 
0.2%
1414
0.3%
1326
0.6%

Curricular units 1st sem (grade)
Real number (ℝ)

High correlation  Zeros 

Distinct805
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.640822
Minimum0
Maximum18.875
Zeros718
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:12.067994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median12.285714
Q313.4
95-th percentile14.857143
Maximum18.875
Range18.875
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation4.8436634
Coefficient of variation (CV)0.45519637
Kurtosis0.90846103
Mean10.640822
Median Absolute Deviation (MAD)1.1571429
Skewness-1.5681456
Sum47074.995
Variance23.461075
MonotonicityNot monotonic
2026-01-07T16:55:12.416798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0718
 
16.2%
12205
 
4.6%
13147
 
3.3%
11138
 
3.1%
11.589
 
2.0%
1485
 
1.9%
12.584
 
1.9%
1082
 
1.9%
12.6666666782
 
1.9%
12.3333333382
 
1.9%
Other values (795)2712
61.3%
ValueCountFrequency (%)
0718
16.2%
9.81
 
< 0.1%
1082
 
1.9%
10.166666671
 
< 0.1%
10.28
 
0.2%
10.214285711
 
< 0.1%
10.257
 
0.2%
10.285714291
 
< 0.1%
10.3333333316
 
0.4%
10.368421051
 
< 0.1%
ValueCountFrequency (%)
18.8751
 
< 0.1%
182
 
< 0.1%
17.333333332
 
< 0.1%
17.1251
 
< 0.1%
17.111111111
 
< 0.1%
17.005555561
 
< 0.1%
175
0.1%
16.91
 
< 0.1%
16.885714291
 
< 0.1%
16.857142861
 
< 0.1%
Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13765823
Minimum0
Maximum12
Zeros4130
Zeros (%)93.4%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:12.684598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.69088018
Coefficient of variation (CV)5.0188078
Kurtosis89.863208
Mean0.13765823
Median Absolute Deviation (MAD)0
Skewness8.2074031
Sum609
Variance0.47731543
MonotonicityNot monotonic
2026-01-07T16:55:12.924441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
04130
93.4%
1153
 
3.5%
279
 
1.8%
323
 
0.5%
415
 
0.3%
66
 
0.1%
76
 
0.1%
55
 
0.1%
84
 
0.1%
122
 
< 0.1%
ValueCountFrequency (%)
04130
93.4%
1153
 
3.5%
279
 
1.8%
323
 
0.5%
415
 
0.3%
55
 
0.1%
66
 
0.1%
76
 
0.1%
84
 
0.1%
101
 
< 0.1%
ValueCountFrequency (%)
122
 
< 0.1%
101
 
< 0.1%
84
 
0.1%
76
 
0.1%
66
 
0.1%
55
 
0.1%
415
 
0.3%
323
 
0.5%
279
1.8%
1153
3.5%

Curricular units 2nd sem (credited)
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54181736
Minimum0
Maximum19
Zeros3894
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:13.108327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9185461
Coefficient of variation (CV)3.5409462
Kurtosis24.427266
Mean0.54181736
Median Absolute Deviation (MAD)0
Skewness4.6348195
Sum2397
Variance3.6808193
MonotonicityNot monotonic
2026-01-07T16:55:13.345216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
03894
88.0%
1107
 
2.4%
292
 
2.1%
478
 
1.8%
568
 
1.5%
349
 
1.1%
626
 
0.6%
1120
 
0.5%
716
 
0.4%
915
 
0.3%
Other values (9)59
 
1.3%
ValueCountFrequency (%)
03894
88.0%
1107
 
2.4%
292
 
2.1%
349
 
1.1%
478
 
1.8%
568
 
1.5%
626
 
0.6%
716
 
0.4%
812
 
0.3%
915
 
0.3%
ValueCountFrequency (%)
191
 
< 0.1%
182
 
< 0.1%
162
 
< 0.1%
152
 
< 0.1%
144
 
0.1%
139
0.2%
1214
0.3%
1120
0.5%
1013
0.3%
915
0.3%

Curricular units 2nd sem (enrolled)
Real number (ℝ)

High correlation  Zeros 

Distinct22
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2321429
Minimum0
Maximum23
Zeros180
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:13.610001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q15
median6
Q37
95-th percentile10
Maximum23
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1959508
Coefficient of variation (CV)0.35235886
Kurtosis7.13474
Mean6.2321429
Median Absolute Deviation (MAD)1
Skewness0.7881135
Sum27571
Variance4.8221997
MonotonicityNot monotonic
2026-01-07T16:55:14.073704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
61913
43.2%
51054
23.8%
8661
 
14.9%
7304
 
6.9%
0180
 
4.1%
1160
 
1.4%
950
 
1.1%
1048
 
1.1%
1244
 
1.0%
1337
 
0.8%
Other values (12)73
 
1.7%
ValueCountFrequency (%)
0180
 
4.1%
13
 
0.1%
25
 
0.1%
33
 
0.1%
417
 
0.4%
51054
23.8%
61913
43.2%
7304
 
6.9%
8661
 
14.9%
950
 
1.1%
ValueCountFrequency (%)
232
 
< 0.1%
211
 
< 0.1%
193
 
0.1%
182
 
< 0.1%
1712
 
0.3%
161
 
< 0.1%
152
 
< 0.1%
1422
0.5%
1337
0.8%
1244
1.0%

Curricular units 2nd sem (evaluations)
Real number (ℝ)

High correlation  Zeros 

Distinct30
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0632911
Minimum0
Maximum33
Zeros401
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:14.283570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median8
Q310
95-th percentile15
Maximum33
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.9479509
Coefficient of variation (CV)0.48962029
Kurtosis2.0682859
Mean8.0632911
Median Absolute Deviation (MAD)2
Skewness0.33649718
Sum35672
Variance15.586317
MonotonicityNot monotonic
2026-01-07T16:55:14.535451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
8792
17.9%
6614
13.9%
7563
12.7%
9456
10.3%
0401
9.1%
10355
8.0%
5288
 
6.5%
11255
 
5.8%
12226
 
5.1%
13126
 
2.8%
Other values (20)348
7.9%
ValueCountFrequency (%)
0401
9.1%
13
 
0.1%
24
 
0.1%
32
 
< 0.1%
410
 
0.2%
5288
 
6.5%
6614
13.9%
7563
12.7%
8792
17.9%
9456
10.3%
ValueCountFrequency (%)
331
 
< 0.1%
281
 
< 0.1%
272
 
< 0.1%
263
 
0.1%
251
 
< 0.1%
243
 
0.1%
234
 
0.1%
2210
0.2%
2110
0.2%
208
0.2%

Curricular units 2nd sem (approved)
Real number (ℝ)

High correlation  Zeros 

Distinct20
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4358047
Minimum0
Maximum20
Zeros870
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:14.765256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q36
95-th percentile8
Maximum20
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.0147639
Coefficient of variation (CV)0.67964306
Kurtosis0.84504466
Mean4.4358047
Median Absolute Deviation (MAD)2
Skewness0.30627938
Sum19624
Variance9.0888014
MonotonicityNot monotonic
2026-01-07T16:55:14.992110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
6965
21.8%
0870
19.7%
5726
16.4%
4414
9.4%
7331
 
7.5%
8321
 
7.3%
3285
 
6.4%
2198
 
4.5%
1114
 
2.6%
1148
 
1.1%
Other values (10)152
 
3.4%
ValueCountFrequency (%)
0870
19.7%
1114
 
2.6%
2198
 
4.5%
3285
 
6.4%
4414
9.4%
5726
16.4%
6965
21.8%
7331
 
7.5%
8321
 
7.3%
936
 
0.8%
ValueCountFrequency (%)
202
 
< 0.1%
193
 
0.1%
182
 
< 0.1%
178
 
0.2%
162
 
< 0.1%
146
 
0.1%
1321
0.5%
1234
0.8%
1148
1.1%
1038
0.9%

Curricular units 2nd sem (grade)
Real number (ℝ)

High correlation  Zeros 

Distinct786
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.230206
Minimum0
Maximum18.571429
Zeros870
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:15.258940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.75
median12.2
Q313.333333
95-th percentile14.980262
Maximum18.571429
Range18.571429
Interquartile range (IQR)2.5833333

Descriptive statistics

Standard deviation5.210808
Coefficient of variation (CV)0.50935515
Kurtosis0.066567351
Mean10.230206
Median Absolute Deviation (MAD)1.2
Skewness-1.3136502
Sum45258.43
Variance27.15252
MonotonicityNot monotonic
2026-01-07T16:55:15.578748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0870
 
19.7%
12170
 
3.8%
11165
 
3.7%
13150
 
3.4%
11.586
 
1.9%
12.584
 
1.9%
1477
 
1.7%
1077
 
1.7%
13.565
 
1.5%
12.6666666761
 
1.4%
Other values (776)2619
59.2%
ValueCountFrequency (%)
0870
19.7%
1077
 
1.7%
10.166666674
 
0.1%
10.24
 
0.1%
10.2510
 
0.2%
10.3333333319
 
0.4%
10.3751
 
< 0.1%
10.48
 
0.2%
10.428571432
 
< 0.1%
10.444444442
 
< 0.1%
ValueCountFrequency (%)
18.571428571
< 0.1%
17.714285711
< 0.1%
17.692307691
< 0.1%
17.62
< 0.1%
17.58751
< 0.1%
17.428571431
< 0.1%
17.166666671
< 0.1%
172
< 0.1%
16.909090911
< 0.1%
16.82
< 0.1%
Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15031646
Minimum0
Maximum12
Zeros4142
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:16.485196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.75377407
Coefficient of variation (CV)5.0145812
Kurtosis66.811692
Mean0.15031646
Median Absolute Deviation (MAD)0
Skewness7.2677009
Sum665
Variance0.56817535
MonotonicityNot monotonic
2026-01-07T16:55:16.668030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
04142
93.6%
1140
 
3.2%
248
 
1.1%
335
 
0.8%
421
 
0.5%
517
 
0.4%
68
 
0.2%
86
 
0.1%
75
 
0.1%
122
 
< 0.1%
ValueCountFrequency (%)
04142
93.6%
1140
 
3.2%
248
 
1.1%
335
 
0.8%
421
 
0.5%
517
 
0.4%
68
 
0.2%
75
 
0.1%
86
 
0.1%
122
 
< 0.1%
ValueCountFrequency (%)
122
 
< 0.1%
86
 
0.1%
75
 
0.1%
68
 
0.2%
517
 
0.4%
421
 
0.5%
335
 
0.8%
248
 
1.1%
1140
 
3.2%
04142
93.6%

Unemployment rate
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.566139
Minimum7.6
Maximum16.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.7 KiB
2026-01-07T16:55:16.852910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.6
5-th percentile7.6
Q19.4
median11.1
Q313.9
95-th percentile16.2
Maximum16.2
Range8.6
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.6638505
Coefficient of variation (CV)0.23031458
Kurtosis-0.99552591
Mean11.566139
Median Absolute Deviation (MAD)1.7
Skewness0.21205105
Sum51168.6
Variance7.0960994
MonotonicityNot monotonic
2026-01-07T16:55:17.017829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7.6571
12.9%
9.4533
12.0%
10.8525
11.9%
12.4445
10.1%
12.7419
9.5%
11.1414
9.4%
15.5397
9.0%
13.9390
8.8%
8.9368
8.3%
16.2362
8.2%
ValueCountFrequency (%)
7.6571
12.9%
8.9368
8.3%
9.4533
12.0%
10.8525
11.9%
11.1414
9.4%
12.4445
10.1%
12.7419
9.5%
13.9390
8.8%
15.5397
9.0%
16.2362
8.2%
ValueCountFrequency (%)
16.2362
8.2%
15.5397
9.0%
13.9390
8.8%
12.7419
9.5%
12.4445
10.1%
11.1414
9.4%
10.8525
11.9%
9.4533
12.0%
8.9368
8.3%
7.6571
12.9%

Inflation rate
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2280289
Minimum-0.8
Maximum3.7
Zeros0
Zeros (%)0.0%
Negative923
Negative (%)20.9%
Memory size34.7 KiB
2026-01-07T16:55:17.188742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.8
5-th percentile-0.8
Q10.3
median1.4
Q32.6
95-th percentile3.7
Maximum3.7
Range4.5
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.3827107
Coefficient of variation (CV)1.1259594
Kurtosis-1.0390334
Mean1.2280289
Median Absolute Deviation (MAD)1.2
Skewness0.25237535
Sum5432.8
Variance1.9118889
MonotonicityNot monotonic
2026-01-07T16:55:17.359631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.4893
20.2%
2.6571
12.9%
-0.8533
12.0%
0.5445
10.1%
3.7419
9.5%
0.6414
9.4%
2.8397
9.0%
-0.3390
8.8%
0.3362
8.2%
ValueCountFrequency (%)
-0.8533
12.0%
-0.3390
8.8%
0.3362
8.2%
0.5445
10.1%
0.6414
9.4%
1.4893
20.2%
2.6571
12.9%
2.8397
9.0%
3.7419
9.5%
ValueCountFrequency (%)
3.7419
9.5%
2.8397
9.0%
2.6571
12.9%
1.4893
20.2%
0.6414
9.4%
0.5445
10.1%
0.3362
8.2%
-0.3390
8.8%
-0.8533
12.0%

GDP
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0019688065
Minimum-4.06
Maximum3.51
Zeros0
Zeros (%)0.0%
Negative1711
Negative (%)38.7%
Memory size34.7 KiB
2026-01-07T16:55:17.527505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4.06
5-th percentile-4.06
Q1-1.7
median0.32
Q31.79
95-th percentile3.51
Maximum3.51
Range7.57
Interquartile range (IQR)3.49

Descriptive statistics

Standard deviation2.2699354
Coefficient of variation (CV)1152.95
Kurtosis-1.0016532
Mean0.0019688065
Median Absolute Deviation (MAD)1.47
Skewness-0.39406821
Sum8.71
Variance5.1526069
MonotonicityNot monotonic
2026-01-07T16:55:17.717354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.32571
12.9%
-3.12533
12.0%
1.74525
11.9%
1.79445
10.1%
-1.7419
9.5%
2.02414
9.4%
-4.06397
9.0%
0.79390
8.8%
3.51368
8.3%
-0.92362
8.2%
ValueCountFrequency (%)
-4.06397
9.0%
-3.12533
12.0%
-1.7419
9.5%
-0.92362
8.2%
0.32571
12.9%
0.79390
8.8%
1.74525
11.9%
1.79445
10.1%
2.02414
9.4%
3.51368
8.3%
ValueCountFrequency (%)
3.51368
8.3%
2.02414
9.4%
1.79445
10.1%
1.74525
11.9%
0.79390
8.8%
0.32571
12.9%
-0.92362
8.2%
-1.7419
9.5%
-3.12533
12.0%
-4.06397
9.0%

Target
Categorical

High correlation 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size279.6 KiB
Graduate
2209 
Dropout
1421 
Enrolled
794 

Length

Max length8
Median length8
Mean length7.6787975
Min length7

Characters and Unicode

Total characters33971
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDropout
2nd rowGraduate
3rd rowDropout
4th rowGraduate
5th rowGraduate

Common Values

ValueCountFrequency (%)
Graduate2209
49.9%
Dropout1421
32.1%
Enrolled794
 
17.9%

Length

2026-01-07T16:55:17.944210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2026-01-07T16:55:18.098111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
graduate2209
49.9%
dropout1421
32.1%
enrolled794
 
17.9%

Most occurring characters

ValueCountFrequency (%)
r4424
13.0%
a4418
13.0%
o3636
10.7%
u3630
10.7%
t3630
10.7%
d3003
8.8%
e3003
8.8%
G2209
6.5%
l1588
 
4.7%
D1421
 
4.2%
Other values (3)3009
8.9%

Most occurring categories

ValueCountFrequency (%)
(unknown)33971
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r4424
13.0%
a4418
13.0%
o3636
10.7%
u3630
10.7%
t3630
10.7%
d3003
8.8%
e3003
8.8%
G2209
6.5%
l1588
 
4.7%
D1421
 
4.2%
Other values (3)3009
8.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown)33971
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r4424
13.0%
a4418
13.0%
o3636
10.7%
u3630
10.7%
t3630
10.7%
d3003
8.8%
e3003
8.8%
G2209
6.5%
l1588
 
4.7%
D1421
 
4.2%
Other values (3)3009
8.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown)33971
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r4424
13.0%
a4418
13.0%
o3636
10.7%
u3630
10.7%
t3630
10.7%
d3003
8.8%
e3003
8.8%
G2209
6.5%
l1588
 
4.7%
D1421
 
4.2%
Other values (3)3009
8.9%

Interactions

2026-01-07T16:54:39.602929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-01-07T16:54:25.617501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:54:38.495644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:54:50.187108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:50:08.771541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:50:24.912140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:50:45.444906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:51:03.766096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:51:16.593825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:51:28.123420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:51:40.376525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:51:48.606193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:51:58.050108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:52:09.639638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:52:18.180177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:52:27.287263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:52:35.189172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:52:42.995138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:52:50.182507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:52:58.011464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:53:04.773100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:53:16.278729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:53:26.467626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:53:34.940163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:53:43.222828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:53:51.361580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:53:59.466356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:54:06.368906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:54:17.287868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:54:25.864369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-01-07T16:54:39.049286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-01-07T16:55:18.463872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Admission gradeAge at enrollmentApplication modeApplication orderCourseCurricular units 1st sem (approved)Curricular units 1st sem (credited)Curricular units 1st sem (enrolled)Curricular units 1st sem (evaluations)Curricular units 1st sem (grade)Curricular units 1st sem (without evaluations)Curricular units 2nd sem (approved)Curricular units 2nd sem (credited)Curricular units 2nd sem (enrolled)Curricular units 2nd sem (evaluations)Curricular units 2nd sem (grade)Curricular units 2nd sem (without evaluations)Daytime/evening attendanceDebtorDisplacedEducational special needsFather's occupationFather's qualificationGDPGenderInflation rateInternationalMarital statusMother's occupationMother's qualificationNacionalityPrevious qualificationPrevious qualification (grade)Scholarship holderTargetTuition fees up to dateUnemployment rate
Admission grade1.000-0.102-0.024-0.114-0.0770.1000.075-0.006-0.0950.209-0.0000.0990.0750.001-0.0610.189-0.0240.1040.0680.1360.000-0.039-0.023-0.0400.032-0.0180.1410.001-0.024-0.0330.0170.1380.5850.0900.1060.0680.027
Age at enrollment-0.1021.0000.543-0.366-0.073-0.1660.2990.0010.171-0.2100.061-0.1880.301-0.0310.083-0.2130.0940.4890.1330.3890.0000.0380.086-0.0570.1620.0180.0000.4830.1060.1720.0200.389-0.1450.2120.2190.2090.019
Application mode-0.0240.5431.000-0.285-0.087-0.0800.3510.0660.199-0.1550.029-0.1040.3440.0460.150-0.1400.0510.3950.1450.3970.014-0.0170.046-0.0210.174-0.0260.0670.2700.0310.0690.0030.424-0.0290.2130.2160.1950.091
Application order-0.114-0.366-0.2851.0000.1330.090-0.2020.056-0.0960.074-0.0410.106-0.2010.075-0.0530.065-0.0300.1850.0900.3820.000-0.023-0.0490.0300.108-0.0110.000-0.174-0.044-0.058-0.020-0.253-0.0710.0890.0790.073-0.104
Course-0.077-0.073-0.0870.1331.0000.143-0.1690.1790.0010.119-0.1090.157-0.1650.1880.0180.146-0.0320.6470.0170.1860.0250.0230.036-0.0250.1190.0260.0240.0320.0370.053-0.004-0.145-0.0560.0180.0390.000-0.036
Curricular units 1st sem (approved)0.100-0.166-0.0800.0900.1431.0000.3620.7070.2620.640-0.0690.8920.3670.6990.3640.663-0.0730.1730.1450.1290.0000.0140.0020.0590.237-0.0020.000-0.0610.000-0.0180.001-0.0390.0930.2640.4550.2800.074
Curricular units 1st sem (credited)0.0750.2990.351-0.202-0.1690.3621.0000.4230.3660.1010.1000.2890.9140.3760.3310.0930.0640.1710.0570.1070.000-0.027-0.0070.0220.027-0.0020.0000.102-0.017-0.0010.0230.3190.0100.0860.0450.0000.024
Curricular units 1st sem (enrolled)-0.0060.0010.0660.0560.1790.7070.4231.0000.4200.363-0.0190.6530.4400.9620.4310.351-0.0210.2190.0470.1500.0430.004-0.0000.0180.2130.0170.000-0.0010.0040.0170.0050.0720.0350.1560.1730.0830.108
Curricular units 1st sem (evaluations)-0.0950.1710.199-0.0960.0010.2620.3660.4201.0000.1120.2020.2520.3690.3860.6940.0900.1530.0630.0610.0980.000-0.0330.035-0.0970.079-0.0400.0560.059-0.0060.0380.0060.115-0.0690.1870.2580.1030.067
Curricular units 1st sem (grade)0.209-0.210-0.1550.0740.1190.6400.1010.3630.1121.000-0.0170.6290.0970.3680.1820.762-0.0470.1380.1060.0870.000-0.005-0.0230.0920.193-0.0370.000-0.085-0.026-0.0510.011-0.0330.1820.1810.3830.2480.045
Curricular units 1st sem (without evaluations)-0.0000.0610.029-0.041-0.109-0.0690.100-0.0190.202-0.0171.000-0.0550.059-0.0320.096-0.0410.3840.0190.0310.0000.000-0.042-0.003-0.1840.000-0.0680.0570.043-0.014-0.0060.0100.0220.0030.0570.0620.078-0.067
Curricular units 2nd sem (approved)0.099-0.188-0.1040.1060.1570.8920.2890.6530.2520.629-0.0551.0000.3190.6740.3030.694-0.0640.1010.1800.1160.0000.0290.0150.0480.262-0.0150.025-0.0590.022-0.009-0.016-0.0520.0820.2730.5160.3130.070
Curricular units 2nd sem (credited)0.0750.3010.344-0.201-0.1650.3670.9140.4400.3690.0970.0590.3191.0000.4140.3420.1030.0820.1820.0540.1280.000-0.0150.0030.0240.028-0.0010.0000.102-0.0150.0060.0190.314-0.0010.0750.0420.0000.012
Curricular units 2nd sem (enrolled)0.001-0.0310.0460.0750.1880.6990.3760.9620.3860.368-0.0320.6740.4141.0000.4400.364-0.0270.1870.0750.1380.0000.005-0.0030.0190.1620.0090.030-0.0200.0020.004-0.0080.0550.0360.1130.1390.1240.139
Curricular units 2nd sem (evaluations)-0.0610.0830.150-0.0530.0180.3640.3310.4310.6940.1820.0960.3030.3420.4401.0000.1720.1590.1080.0590.0680.029-0.0230.006-0.0040.109-0.0240.0110.009-0.0130.013-0.0160.072-0.0610.1660.2740.1240.061
Curricular units 2nd sem (grade)0.189-0.213-0.1400.0650.1460.6630.0930.3510.0900.762-0.0410.6940.1030.3640.1721.000-0.0520.0850.1500.0690.0000.012-0.0170.1050.201-0.0430.000-0.086-0.002-0.041-0.003-0.0440.1530.1960.4550.2970.042
Curricular units 2nd sem (without evaluations)-0.0240.0940.051-0.030-0.032-0.0730.064-0.0210.153-0.0470.384-0.0640.082-0.0270.159-0.0521.0000.0000.0630.0360.000-0.054-0.001-0.1110.055-0.0270.0000.0560.0080.032-0.0180.033-0.0160.0400.0660.071-0.053
Daytime/evening attendance\t0.1040.4890.3950.1850.6470.1730.1710.2190.0630.1380.0190.1010.1820.1870.1080.0850.0001.0000.0000.2510.0230.0550.1940.0930.0000.0730.0210.3660.0580.2300.0000.1480.1250.0920.0780.0350.093
Debtor0.0680.1330.1450.0900.0170.1450.0570.0470.0610.1060.0310.1800.0540.0750.0590.1500.0630.0001.0000.0880.0000.1030.0000.1380.0510.0860.0720.0300.0980.0320.0800.1430.0630.0650.2410.4070.135
Displaced0.1360.3890.3970.3820.1860.1290.1070.1500.0980.0870.0000.1160.1280.1380.0680.0690.0360.2510.0881.0000.0000.0800.0730.1400.1240.0580.0000.2750.0650.1050.0000.1690.0940.0710.1120.0940.138
Educational special needs0.0000.0000.0140.0000.0250.0000.0000.0430.0000.0000.0000.0000.0000.0000.0290.0000.0000.0230.0000.0001.0000.0330.0000.0570.0030.0420.0000.0000.0120.0090.0000.0000.0000.0110.0000.0000.048
Father's occupation-0.0390.038-0.017-0.0230.0230.014-0.0270.004-0.033-0.005-0.0420.029-0.0150.005-0.0230.012-0.0540.0550.1030.0800.0331.0000.2440.0540.0000.0450.0560.0580.4790.1630.017-0.003-0.0330.0460.1080.0530.002
Father's qualification-0.0230.0860.046-0.0490.0360.002-0.007-0.0000.035-0.023-0.0030.0150.003-0.0030.006-0.017-0.0010.1940.0000.0730.0000.2441.000-0.0620.0830.0400.0880.1220.2520.434-0.0850.015-0.0090.1460.1080.041-0.048
GDP-0.040-0.057-0.0210.030-0.0250.0590.0220.018-0.0970.092-0.1840.0480.0240.019-0.0040.105-0.1110.0930.1380.1400.0570.054-0.0621.0000.081-0.1020.065-0.0680.029-0.0890.0540.028-0.0720.1290.0520.079-0.288
Gender0.0320.1620.1740.1080.1190.2370.0270.2130.0790.1930.0000.2620.0280.1620.1090.2010.0550.0000.0510.1240.0030.0000.0830.0811.0000.0680.0200.0440.0080.0740.0130.1080.0310.1680.2290.1020.076
Inflation rate-0.0180.018-0.026-0.0110.026-0.002-0.0020.017-0.040-0.037-0.068-0.015-0.0010.009-0.024-0.043-0.0270.0730.0860.0580.0420.0450.040-0.1020.0681.0000.030-0.0000.0410.042-0.003-0.0420.0190.0980.0360.086-0.055
International0.1410.0000.0670.0000.0240.0000.0000.0000.0560.0000.0570.0250.0000.0300.0110.0000.0000.0210.0720.0000.0000.0560.0880.0650.0200.0301.0000.0000.0400.0740.9120.0000.0990.0220.0000.0390.069
Marital status0.0010.4830.270-0.1740.032-0.0610.102-0.0010.059-0.0850.043-0.0590.102-0.0200.009-0.0860.0560.3660.0300.2750.0000.0580.122-0.0680.044-0.0000.0001.0000.1210.193-0.0300.189-0.0220.1040.0780.093-0.038
Mother's occupation-0.0240.1060.031-0.0440.0370.000-0.0170.004-0.006-0.026-0.0140.022-0.0150.002-0.013-0.0020.0080.0580.0980.0650.0120.4790.2520.0290.0080.0410.0400.1211.0000.3520.032-0.010-0.0290.0530.1180.0930.002
Mother's qualification-0.0330.1720.069-0.0580.053-0.018-0.0010.0170.038-0.051-0.006-0.0090.0060.0040.013-0.0410.0320.2300.0320.1050.0090.1630.434-0.0890.0740.0420.0740.1930.3521.000-0.0350.026-0.0380.1160.1250.054-0.087
Nacionality0.0170.0200.003-0.020-0.0040.0010.0230.0050.0060.0110.010-0.0160.019-0.008-0.016-0.003-0.0180.0000.0800.0000.0000.017-0.0850.0540.013-0.0030.912-0.0300.032-0.0351.000-0.0410.0420.0100.0160.047-0.011
Previous qualification0.1380.3890.424-0.253-0.145-0.0390.3190.0720.115-0.0330.022-0.0520.3140.0550.072-0.0440.0330.1480.1430.1690.000-0.0030.0150.0280.108-0.0420.0000.189-0.0100.026-0.0411.0000.0680.0810.1110.1230.082
Previous qualification (grade)0.585-0.145-0.029-0.071-0.0560.0930.0100.035-0.0690.1820.0030.082-0.0010.036-0.0610.153-0.0160.1250.0630.0940.000-0.033-0.009-0.0720.0310.0190.099-0.022-0.029-0.0380.0420.0681.0000.0640.0970.0790.048
Scholarship holder0.0900.2120.2130.0890.0180.2640.0860.1560.1870.1810.0570.2730.0750.1130.1660.1960.0400.0920.0650.0710.0110.0460.1460.1290.1680.0980.0220.1040.0530.1160.0100.0810.0641.0000.3040.1360.130
Target0.1060.2190.2160.0790.0390.4550.0450.1730.2580.3830.0620.5160.0420.1390.2740.4550.0660.0780.2410.1120.0000.1080.1080.0520.2290.0360.0000.0780.1180.1250.0160.1110.0970.3041.0000.4310.053
Tuition fees up to date0.0680.2090.1950.0730.0000.2800.0000.0830.1030.2480.0780.3130.0000.1240.1240.2970.0710.0350.4070.0940.0000.0530.0410.0790.1020.0860.0390.0930.0930.0540.0470.1230.0790.1360.4311.0000.091
Unemployment rate0.0270.0190.091-0.104-0.0360.0740.0240.1080.0670.045-0.0670.0700.0120.1390.0610.042-0.0530.0930.1350.1380.0480.002-0.048-0.2880.076-0.0550.069-0.0380.002-0.087-0.0110.0820.0480.1300.0530.0911.000

Missing values

2026-01-07T16:54:51.798066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-01-07T16:54:53.665864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Marital statusApplication modeApplication orderCourseDaytime/evening attendancePrevious qualificationPrevious qualification (grade)NacionalityMother's qualificationFather's qualificationMother's occupationFather's occupationAdmission gradeDisplacedEducational special needsDebtorTuition fees up to dateGenderScholarship holderAge at enrollmentInternationalCurricular units 1st sem (credited)Curricular units 1st sem (enrolled)Curricular units 1st sem (evaluations)Curricular units 1st sem (approved)Curricular units 1st sem (grade)Curricular units 1st sem (without evaluations)Curricular units 2nd sem (credited)Curricular units 2nd sem (enrolled)Curricular units 2nd sem (evaluations)Curricular units 2nd sem (approved)Curricular units 2nd sem (grade)Curricular units 2nd sem (without evaluations)Unemployment rateInflation rateGDPTarget
0117517111122.01191259127.310011020000000.000000000000.000000010.81.41.74Dropout
11151925411160.011333142.5100010190066614.0000000066613.666667013.9-0.30.79Graduate
2115907011122.01373799124.810001019006000.000000006000.000000010.81.41.74Dropout
31172977311122.01383753119.6100100200068613.42857100610512.40000009.4-0.8-3.12Graduate
42391801401100.01373899141.5000100450069512.3333330066613.000000013.9-0.30.79Graduate
523919991019133.11373797114.80011105000510511.85714300517511.500000516.20.3-0.92Graduate
6111950011142.011938710128.4100101180079713.3000000088814.345000015.52.8-4.06Graduate
71184925411119.01373799113.110001022005500.000000005500.000000015.52.8-4.06Dropout
8113923811137.0621199129.3000101211068613.8750000067614.142857016.20.3-0.92Graduate
9111923811138.0111947123.0101000180069511.40000000614213.50000008.91.43.51Dropout
Marital statusApplication modeApplication orderCourseDaytime/evening attendancePrevious qualificationPrevious qualification (grade)NacionalityMother's qualificationFather's qualificationMother's occupationFather's occupationAdmission gradeDisplacedEducational special needsDebtorTuition fees up to dateGenderScholarship holderAge at enrollmentInternationalCurricular units 1st sem (credited)Curricular units 1st sem (enrolled)Curricular units 1st sem (evaluations)Curricular units 1st sem (approved)Curricular units 1st sem (grade)Curricular units 1st sem (without evaluations)Curricular units 2nd sem (credited)Curricular units 2nd sem (enrolled)Curricular units 2nd sem (evaluations)Curricular units 2nd sem (approved)Curricular units 2nd sem (grade)Curricular units 2nd sem (without evaluations)Unemployment rateInflation rateGDPTarget
4414111913011137.0133835129.3100100180056511.8000001058511.60000009.4-0.8-3.12Graduate
441543919500119133.11373766117.80010004600714312.33333300712311.083333011.10.62.02Dropout
44161432950011136.01383895131.30001002301114151212.62500011114151212.62500017.62.60.32Graduate
4417111907011132.011199133.8100101200066613.8333330066613.500000016.20.3-0.92Graduate
441814419070139120.0133839120.0000110200277612.50000005910713.142857116.20.3-0.92Graduate
4419116977311125.011154122.2000110190067513.6000000068512.666667015.52.8-4.06Graduate
4420112977311120.01051199119.0101000181066612.0000000066211.000000011.10.62.02Dropout
4421111950011154.01373799149.5100101300078714.9125000089113.500000013.9-0.30.79Dropout
4422111914711180.01373774153.8100101200055513.8000000056512.00000009.4-0.8-3.12Graduate
44231101977311152.022383759152.0100100221068611.6666670066613.000000012.73.7-1.70Graduate